
from __future__ import annotations

__a         =   tuple[int, int, int]
__a         =   tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__a         =   'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
__a         =   'EGZWVONAHDCLFQMSIPJBYUKXTR'
__a         =   'FOBHMDKEXQNRAULPGSJVTYICZW'
__a         =   'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
__a         =   {
    'A': 'N',
    'N': 'A',
    'B': 'O',
    'O': 'B',
    'C': 'P',
    'P': 'C',
    'D': 'Q',
    'Q': 'D',
    'E': 'R',
    'R': 'E',
    'F': 'S',
    'S': 'F',
    'G': 'T',
    'T': 'G',
    'H': 'U',
    'U': 'H',
    'I': 'V',
    'V': 'I',
    'J': 'W',
    'W': 'J',
    'K': 'X',
    'X': 'K',
    'L': 'Y',
    'Y': 'L',
    'M': 'Z',
    'Z': 'M',
}

# -------------------------- extra rotors --------------------------
__a         =   'RMDJXFUWGISLHVTCQNKYPBEZOA'
__a         =   'SGLCPQWZHKXAREONTFBVIYJUDM'
__a         =   'HVSICLTYKQUBXDWAJZOMFGPREN'
__a         =   'RZWQHFMVDBKICJLNTUXAGYPSOE'
__a         =   'LFKIJODBEGAMQPXVUHYSTCZRWN'
__a         =   'KOAEGVDHXPQZMLFTYWJNBRCIUS'




def 							a		(				snake_case__:   RotorPositionT		,  snake_case__:   RotorSelectionT		,  snake_case__:   str   ):


				'''simple docstring'''
				# Checks if there are 3 unique rotors

				if (unique_rotsel := len(set(snake_case__   )   )) < 3:
								lowercase_	    =   F'''Please use 3 unique rotors (not {unique_rotsel})'''
								raise Exception(snake_case__   )

				# Checks if rotor positions are valid
				lowercase_    ,      lowercase_    ,      lowercase_	    =   rotpos
				if not 0 < rotorposa <= len(snake_case__   ):
								lowercase_	    =   F'''First rotor position is not within range of 1..26 ({rotorposa}'''
								raise ValueError(snake_case__   )
				if not 0 < rotorposa <= len(snake_case__   ):
								lowercase_	    =   F'''Second rotor position is not within range of 1..26 ({rotorposa})'''
								raise ValueError(snake_case__   )
				if not 0 < rotorposa <= len(snake_case__   ):
								lowercase_	    =   F'''Third rotor position is not within range of 1..26 ({rotorposa})'''
								raise ValueError(snake_case__   )

				# Validates string and returns dict
				lowercase_	    =   _plugboard(snake_case__   )

				return rotpos, rotsel, pbdict




def 							a		(				snake_case__:   str   ):


				'''simple docstring'''

				# tests the input string if it
				# a) is type string
				# b) has even length (so pairs can be made)
				if not isinstance(snake_case__		,  snake_case__   ):
								lowercase_	    =   F'''Plugboard setting isn\'t type string ({type(snake_case__   )})'''
								raise TypeError(snake_case__   )
				elif len(snake_case__   ) % 2 != 0:
								lowercase_	    =   F'''Odd number of symbols ({len(snake_case__   )})'''
								raise Exception(snake_case__   )
				elif pbstring == "":
								return {}

				pbstring.replace(''' '''		,  ''''''   )

				# Checks if all characters are unique
				lowercase_	    =   set()
				for i in pbstring:
								if i not in abc:
												lowercase_	    =   F'''\'{i}\' not in list of symbols'''
												raise Exception(snake_case__   )
								elif i in tmppbl:
												lowercase_	    =   F'''Duplicate symbol ({i})'''
												raise Exception(snake_case__   )
								else:
												tmppbl.add(snake_case__   )
				del tmppbl

				# Created the dictionary
				lowercase_	    =   {}
				for j in range(0		,  len(snake_case__   ) - 1		,  2   ):
								lowercase_	    =   pbstring[j + 1]
								lowercase_	    =   pbstring[j]

				return pb




def 							a		(				snake_case__:   str		,  snake_case__:   RotorPositionT		,  snake_case__:   RotorSelectionT = (rotora, rotora, rotora)		,  snake_case__:   str = ""		,  ):


				'''simple docstring'''
				lowercase_	    =   text.upper()
				lowercase_    ,      lowercase_    ,      lowercase_	    =   _validator(
				    snake_case__		,  snake_case__		,  plugb.upper()   )

				lowercase_    ,      lowercase_    ,      lowercase_	    =   rotor_position
				lowercase_    ,      lowercase_    ,      lowercase_	    =   rotor_selection
				rotorposa -= 1
				rotorposa -= 1
				rotorposa -= 1

				lowercase_	    =   []

				# encryption/decryption process --------------------------
				for symbol in text:
								if symbol in abc:
												# 1st plugboard --------------------------
												if symbol in plugboard:
																lowercase_	    =   plugboard[symbol]

												# rotor ra --------------------------
												lowercase_	    =   abc.index(snake_case__   ) + rotorposa
												lowercase_	    =   rotora[index % len(snake_case__   )]

												# rotor rb --------------------------
												lowercase_	    =   abc.index(snake_case__   ) + rotorposa
												lowercase_	    =   rotora[index % len(snake_case__   )]

												# rotor rc --------------------------
												lowercase_	    =   abc.index(snake_case__   ) + rotorposa
												lowercase_	    =   rotora[index % len(snake_case__   )]

												# reflector --------------------------
												# this is the reason you don't need another machine to decipher

												lowercase_	    =   reflector[symbol]

												# 2nd rotors
												lowercase_	    =   abc[rotora.index(snake_case__   ) - rotorposa]
												lowercase_	    =   abc[rotora.index(snake_case__   ) - rotorposa]
												lowercase_	    =   abc[rotora.index(snake_case__   ) - rotorposa]

												# 2nd plugboard
												if symbol in plugboard:
																lowercase_	    =   plugboard[symbol]

												# moves/resets rotor positions
												rotorposa += 1
												if rotorposa >= len(snake_case__   ):
																lowercase_	    =   0
																rotorposa += 1
												if rotorposa >= len(snake_case__   ):
																lowercase_	    =   0
																rotorposa += 1
												if rotorposa >= len(snake_case__   ):
																lowercase_	    =   0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
								result.append(snake_case__   )

				return "".join(snake_case__   )


if __name__ == "__main__":
						__a         =   'This is my Python script that emulates the Enigma machine from WWII.'
						__a         =   (1, 1, 1)
						__a         =   'pictures'
						__a         =   (rotora, rotora, rotora)
						__a         =   enigma(message, rotor_pos, rotor_sel, pb)

						print('Encrypted message:', en)
						print('Decrypted message:', enigma(en, rotor_pos, rotor_sel, pb))





import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    FEATURE_EXTRACTOR_MAPPING,
    AutoConfig,
    AutoFeatureExtractor,
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402


_SCREAMING_SNAKE_CASE 		=      get_tests_dir("""fixtures""")
_SCREAMING_SNAKE_CASE 		=      get_tests_dir("""fixtures/dummy_feature_extractor_config.json""")
_SCREAMING_SNAKE_CASE 		=      get_tests_dir("""fixtures/dummy-config.json""")
class SCREAMING_SNAKE_CASE_		(      unittest.TestCase		):







   def 						lowerCamelCase_	(     self						:						Tuple				):





    """simple docstring"""


    UpperCamelCase			  =      0







   def 						lowerCamelCase_	(     self						:						int				):





    """simple docstring"""


    UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained("""facebook/wav2vec2-base-960h"""				)
    self.assertIsInstance(lowerCamelCase_   ,   lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						Optional[Any]				):





    """simple docstring"""


    UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_				)
    self.assertIsInstance(lowerCamelCase_   ,   lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						Tuple				):





    """simple docstring"""


    with tempfile.TemporaryDirectory() as tmpdirname:
     UpperCamelCase			  =      WavaVecaConfig()

     # remove feature_extractor_type to make sure config.json alone is enough to load feature processor locally
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_				).to_dict()

     config_dict.pop("""feature_extractor_type"""				)
     UpperCamelCase			  =      WavaVecaFeatureExtractor(**lowerCamelCase_				)

     # save in new folder
     model_config.save_pretrained(lowerCamelCase_				)
     config.save_pretrained(lowerCamelCase_				)

     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_				)

     # make sure private variable is not incorrectly saved
     UpperCamelCase			  =      json.loads(config.to_json_string()				)
     self.assertTrue("""_processor_class""" not in dict_as_saved				)

    self.assertIsInstance(lowerCamelCase_   ,   lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						List[str]				):





    """simple docstring"""


    UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_				)
    self.assertIsInstance(lowerCamelCase_   ,   lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						int				):





    """simple docstring"""


    with self.assertRaisesRegex(
        lowerCamelCase_   ,   """bert-base is not a local folder and is not a valid model identifier"""				):
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained("""bert-base"""				)







   def 						lowerCamelCase_	(     self						:						str				):





    """simple docstring"""


    with self.assertRaisesRegex(
        lowerCamelCase_   ,   R"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""				):
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_   ,   revision="""aaaaaa"""				)







   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    with self.assertRaisesRegex(
        lowerCamelCase_   ,   """hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json."""   ,   ):
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained("""hf-internal-testing/config-no-model"""				)







   def 						lowerCamelCase_	(     self						:						List[Any]				):





    """simple docstring"""


    with self.assertRaises(lowerCamelCase_				):
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(
         """hf-internal-testing/test_dynamic_feature_extractor"""				)
    # If remote code is disabled, we can't load this config.
    with self.assertRaises(lowerCamelCase_				):
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(
         """hf-internal-testing/test_dynamic_feature_extractor"""   ,   trust_remote_code=lowerCamelCase_				)

    UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(
        """hf-internal-testing/test_dynamic_feature_extractor"""   ,   trust_remote_code=lowerCamelCase_				)
    self.assertEqual(feature_extractor.__class__.__name__   ,   """NewFeatureExtractor"""				)

    # Test feature extractor can be reloaded.
    with tempfile.TemporaryDirectory() as tmp_dir:
     feature_extractor.save_pretrained(lowerCamelCase_				)
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_   ,   trust_remote_code=lowerCamelCase_				)
    self.assertEqual(reloaded_feature_extractor.__class__.__name__   ,   """NewFeatureExtractor"""				)







   def 						lowerCamelCase_	(     self						:						Union[str, Any]				):





    """simple docstring"""


    try:
     AutoConfig.register("""custom"""   ,   lowerCamelCase_				)
     AutoFeatureExtractor.register(lowerCamelCase_   ,   lowerCamelCase_				)
     # Trying to register something existing in the Transformers library will raise an error
     with self.assertRaises(lowerCamelCase_				):
      AutoFeatureExtractor.register(lowerCamelCase_   ,   lowerCamelCase_				)

     # Now that the config is registered, it can be used as any other config with the auto-API
     UpperCamelCase			  =      CustomFeatureExtractor.from_pretrained(lowerCamelCase_				)
     with tempfile.TemporaryDirectory() as tmp_dir:
      feature_extractor.save_pretrained(lowerCamelCase_				)
      UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(lowerCamelCase_				)
      self.assertIsInstance(lowerCamelCase_   ,   lowerCamelCase_				)

    finally:
     if "custom" in CONFIG_MAPPING._extra_content:
      del CONFIG_MAPPING._extra_content["custom"]
     if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
      del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]







   def 						lowerCamelCase_	(     self						:						Dict				):





    """simple docstring"""


    class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
       __lowerCAmelCase           =				True

    try:
     AutoConfig.register("""custom"""   ,   lowerCamelCase_				)
     AutoFeatureExtractor.register(lowerCamelCase_   ,   lowerCamelCase_				)
     # If remote code is not set, the default is to use local
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(
         """hf-internal-testing/test_dynamic_feature_extractor"""				)
     self.assertEqual(feature_extractor.__class__.__name__   ,   """NewFeatureExtractor"""				)
     self.assertTrue(feature_extractor.is_local				)

     # If remote code is disabled, we load the local one.
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(
         """hf-internal-testing/test_dynamic_feature_extractor"""   ,   trust_remote_code=lowerCamelCase_				)
     self.assertEqual(feature_extractor.__class__.__name__   ,   """NewFeatureExtractor"""				)
     self.assertTrue(feature_extractor.is_local				)

     # If remote is enabled, we load from the Hub
     UpperCamelCase			  =      AutoFeatureExtractor.from_pretrained(
         """hf-internal-testing/test_dynamic_feature_extractor"""   ,   trust_remote_code=lowerCamelCase_				)
     self.assertEqual(feature_extractor.__class__.__name__   ,   """NewFeatureExtractor"""				)
     self.assertTrue(not hasattr(lowerCamelCase_   ,   """is_local"""				)				)

    finally:
     if "custom" in CONFIG_MAPPING._extra_content:
      del CONFIG_MAPPING._extra_content["custom"]
     if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
      del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]
